CN111328088A - PRACH detection method and device - Google Patents

PRACH detection method and device Download PDF

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Publication number
CN111328088A
CN111328088A CN201811544241.7A CN201811544241A CN111328088A CN 111328088 A CN111328088 A CN 111328088A CN 201811544241 A CN201811544241 A CN 201811544241A CN 111328088 A CN111328088 A CN 111328088A
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beams
prach
domain data
frequency domain
peak value
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CN111328088B (en
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胥恒
李建
徐明涛
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Priority to CN201811544241.7A priority Critical patent/CN111328088B/en
Priority to EP19900517.4A priority patent/EP3883287A4/en
Priority to PCT/CN2019/125913 priority patent/WO2020125616A1/en
Publication of CN111328088A publication Critical patent/CN111328088A/en
Priority to US17/349,160 priority patent/US11910443B2/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0686Hybrid systems, i.e. switching and simultaneous transmission
    • H04B7/0695Hybrid systems, i.e. switching and simultaneous transmission using beam selection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • H04B17/318Received signal strength
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/382Monitoring; Testing of propagation channels for resource allocation, admission control or handover
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/24Cell structures
    • H04W16/28Cell structures using beam steering
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/046Wireless resource allocation based on the type of the allocated resource the resource being in the space domain, e.g. beams
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W74/00Wireless channel access
    • H04W74/08Non-scheduled access, e.g. ALOHA
    • H04W74/0833Random access procedures, e.g. with 4-step access
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/10Polarisation diversity; Directional diversity
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/02Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/04Large scale networks; Deep hierarchical networks
    • H04W84/042Public Land Mobile systems, e.g. cellular systems

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the application relates to a PRACH detection method, which comprises the following steps: sequentially detecting frequency domain data of each beam in at least two groups of beams; acquiring frequency domain data of a frequency corresponding to the PRACH from the frequency domain data of the current detection beam; determining a time domain correlation peak of the PRACH according to frequency domain data of corresponding frequency of the PRACH; determining a first peak value according to a time domain correlation peak of the PRACH; and when the first peak value is larger than or equal to a first threshold value, sending a random access response message to the user equipment. The method comprises the steps of grouping beams firstly and covering a cell through a plurality of groups of beams. Through different beams selected by different groups, when the user equipment is accessed, the number of detected beams can be effectively reduced, and the access time delay is reduced. Meanwhile, after the scanning beams are sequenced, the beams with high utilization rate can be preferentially scanned according to the access condition of the user equipment, so that the user equipment can be accessed more quickly, the access time delay is further reduced, and the processing complexity is reduced.

Description

PRACH detection method and device
Technical Field
The present invention relates to the field of communications, and in particular, to a PRACH detection method and apparatus based on layered beam scanning.
Background
With the development of the fifth generation mobile communication technology (5th-generation, 5G), the international telecommunication union radio communication bureau (ITU-R) has determined three major application scenarios of 5G, including: enhanced mobile broadband (eMBB), ultra-high-reliable and low latency communication (URLLC), and massive machine group communication (mtc). Meanwhile, the three application scenarios correspondingly put higher requirements on the access delay of User Equipment (UE).
In a 5G wireless communication system, a base station (gsnodeb) accesses a UE in a random access manner, so as to obtain a corresponding UE Identity (ID), and simultaneously implement uplink time synchronization of the UE. And Physical Random Access Channel (PRACH) detection is the first step in the implementation of the access process. In the PRACH detection, a preamble (preamble) is detected to estimate a round trip propagation delay for accessing the UE. The gNodeB determines whether a random access request initiated by the UE exists in a preamble subframe by detecting a preamble sent by the UE, and determines which UE the preamble currently initiating the random access request corresponds to. In order to realize synchronization of uplink time of the UE and control of Random Access Channel (RACH) power, the physical layer measures a detected preamble, which includes measuring uplink time offset measurement, interference noise power of the RACH and received power strength of the RACH, and finally reports a measurement result to a high layer.
Currently, 5G adopts Massive MIMO (Massive MIMO) technology for improving system capacity and coverage. In the initial access stage, because the optimal beam where the user is located cannot be obtained, the uplink PRACH detection reception can only perform detection by traversing all beams, but this may seriously increase the access delay of the user.
Disclosure of Invention
The embodiment of the application provides a PRACH detection method and a PRACH detection device, wherein beams are grouped firstly, and a cell is covered by a plurality of groups of beams. When the user equipment is ready to access, the number of detected beams is effectively reduced according to different beams covered in different groups, so that the access time delay of the user equipment is reduced, and the processing complexity is reduced.
In a first aspect, a PRACH detection method is provided, the method including: sequentially detecting frequency domain data of each beam in at least two groups of beams; acquiring frequency domain data of a frequency corresponding to the PRACH from the frequency domain data of the current detection beam; determining a time domain correlation peak of the PRACH according to frequency domain data of corresponding frequency of the PRACH; determining a first peak value according to a time domain correlation peak of the PRACH; the first peak value is the highest peak value in the time domain correlation peaks of the PRACH; and when the first peak value is larger than or equal to the first threshold value, sending a random access response message to the user equipment, wherein the random access response message is used for establishing connection between the user equipment and the base station.
In one possible embodiment, before sequentially detecting the frequency domain data for each of the at least two sets of beams, the method further comprises: at least two sets of beams are determined, each set of beams comprising at least one beam.
In one possible embodiment, the method further comprises: determining the detection order of the beams; sequentially detecting frequency domain data of each beam of at least two groups of beams, including: and sequentially detecting the frequency domain data of each beam in the at least two groups of beams according to the detection sequence.
In one possible embodiment, determining the detection order of the beams includes: determining the user distribution quantity of each beam in at least two groups of beams according to historical data; and performing descending order arrangement on all beams in the at least two groups of beams according to the distribution number of the users to obtain a detection order.
In one possible embodiment, the method further comprises: when the first peak value of each beam in the at least two groups of beams is smaller than a first threshold value and the first peak values of at least two beams in the at least two groups of beams are larger than or equal to a second threshold value, performing non-coherent combination on the time domain related peaks of the at least two beams of which the first peak values are larger than or equal to the second threshold value; determining a second peak value according to the time domain correlation peak after incoherent combination; the second peak value is the highest peak value in the time domain correlation peaks after incoherent combination; and when the second peak value is larger than or equal to the first threshold value, sending a random access response message to the user equipment, wherein the random access response message is used for establishing connection between the user equipment and the base station.
In one possible embodiment, detecting frequency domain data for each of at least two sets of beams includes: acquiring time domain data of a plurality of antennas; converting time domain data of the plurality of antennas into frequency domain data through a first transformation; and weighting the frequency domain data of the plurality of antennas through the first transformation weight to obtain the frequency domain data of each beam in at least two groups of beams.
In one possible embodiment, determining a time domain correlation peak of the PRACH according to frequency domain data of a frequency corresponding to the PRACH includes: performing correlation calculation on frequency domain data of corresponding frequency of the PRACH and sequences in a local storage; and converting the frequency domain data of the frequency corresponding to the PRACH after the correlation calculation into a time domain through second conversion to obtain a time domain correlation peak of the PRACH.
In one possible embodiment, the correlation calculation includes: and (4) calculating conjugate point multiplication.
In one possible embodiment, the method further comprises: and when the first peak value or the second peak value is larger than or equal to the first threshold value, determining a time point corresponding to the first peak value or the second peak value, and calculating the initial maximum time advance according to the time point.
In a second aspect, an apparatus for PRACH detection is provided, including: the detection module is used for sequentially detecting the frequency domain data of each beam in at least two groups of beams; the acquisition module is used for acquiring frequency domain data of a frequency corresponding to the PRACH from the frequency domain data of the current detection beam; determining a time domain correlation peak of the PRACH according to frequency domain data of corresponding frequency of the PRACH; determining a first peak value according to a time domain correlation peak of the PRACH; the first peak value is the highest peak value in the time domain correlation peaks of the PRACH; and the confirming module is used for sending a random access response message to the user equipment when the first peak value is larger than or equal to the first threshold value, wherein the random access response message is used for establishing connection between the user equipment and the base station.
In one possible embodiment, the detection module further comprises: at least two sets of beams are determined, each set of beams comprising at least one beam.
In one possible embodiment, the detection module further comprises: determining the detection order of the beams; the detection module includes: and sequentially detecting the frequency domain data of each beam in the at least two groups of beams according to the detection sequence.
In one possible embodiment, determining the detection order of the beams includes: determining the user distribution quantity of each beam in at least two groups of beams according to historical data; and performing descending order arrangement on all beams in the at least two groups of beams according to the distribution number of the users to obtain a detection order.
In one possible embodiment, the validation module further comprises: when the first peak value of each beam in the at least two groups of beams is smaller than a first threshold value and the first peak values of at least two beams in the at least two groups of beams are larger than or equal to a second threshold value, performing non-coherent combination on the time domain related peaks of the at least two beams of which the first peak values are larger than or equal to the second threshold value; determining a second peak value according to the time domain correlation peak after incoherent combination; the second peak value is the highest peak value in the time domain correlation peaks after incoherent combination; and when the second peak value is larger than or equal to the first threshold value, sending a random access response message to the user equipment, wherein the random access response message is used for establishing connection between the user equipment and the base station.
In one possible embodiment, the detection module comprises: acquiring time domain data of a plurality of antennas; converting time domain data of the plurality of antennas into frequency domain data through a first transformation; and weighting the frequency domain data of the plurality of antennas through the first transformation weight to obtain the frequency domain data of each beam in at least two groups of beams.
In one possible implementation, the obtaining module includes: performing correlation calculation on frequency domain data of corresponding frequency of the PRACH and sequences in a local storage; and converting the frequency domain data of the frequency corresponding to the PRACH after the correlation calculation into a time domain through second conversion to obtain a time domain correlation peak of the PRACH.
In one possible embodiment, the correlation calculation includes: and (4) calculating conjugate point multiplication.
In one possible embodiment, the validation module further comprises: and when the first peak value or the second peak value is larger than or equal to the first threshold value, determining a time point corresponding to the first peak value or the second peak value, and calculating the initial maximum time advance according to the time point.
In a third aspect, a communication device is provided, which may be a base station or a chip in a base station, and includes a processor coupled with a memory, the memory being configured to store a computer program or instructions, and the processor being configured to read and execute the computer program or instructions in the memory, so that the communication device performs the method of the first aspect, and optionally, the communication device further includes the memory.
In a fourth aspect, there is provided a computer readable storage medium storing a program, the program comprising instructions which, when executed by a computer, cause the computer to perform the method of the first aspect.
In a fifth aspect, there is provided a computer program product comprising instructions which, when run, cause the method of the first aspect to be performed.
The application discloses a PRACH detection method and a PRACH detection device, wherein beams are grouped firstly, and cells are covered by a plurality of groups of beams. Through different beams selected by different groups, when the user equipment is accessed, the number of detected beams can be effectively reduced, and the access time delay is reduced. Meanwhile, after the scanning beams are sequenced, the beams with high utilization rate can be preferentially scanned according to the access condition of the user equipment, so that the user equipment can be accessed more quickly, the access time delay is further reduced, and the processing complexity is reduced.
Drawings
Fig. 1 is a schematic view of an application scenario of PRACH detection provided in an embodiment of the present application;
fig. 2 is a flowchart of a PRACH detection method according to an embodiment of the present application;
fig. 3 is a flowchart of another PRACH detection method according to an embodiment of the present application;
fig. 4 is a flowchart of another PRACH detection method according to an embodiment of the present application;
fig. 5 is a schematic diagram of beam coverage provided in an embodiment of the present application;
fig. 6 is a schematic diagram of a PRACH detection apparatus according to an embodiment of the present disclosure;
fig. 7 is a schematic diagram of a communication device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
The application is applied to a network function virtualization system, and as shown in fig. 1, fig. 1 is a schematic view of an application scenario of PRACH detection provided in an embodiment of the application.
As shown in fig. 1, the scenario includes at least one base station and a plurality of UEs. The base station divides a coverage area into 3 cells by 120 degrees and divides a 360-degree range, and for each cell, the base station generates a beam with directional directivity by adjusting a weighting coefficient of each antenna in an antenna array of the base station. In the scene, the UE is located around the base station, and the base station and the UE establish communication through the wave beams. Before the UE establishes connection with the base station, the UE accesses the base station in a random access mode, and the base station determines whether the UE accesses and which UE currently requesting access is by detecting a lead code sent by the UE. It should be noted by those skilled in the art that the division manner of one cell at 120 ° shown in fig. 1 is only one possible implementation manner, and the cell range may be divided at other angles according to actual requirements, and the present application is not limited thereto. It should also be noted by those skilled in the art that the present application will be described with one of the cells as an example.
In 5G wireless communication systems, Massive MIMO technology is commonly used. And PRACH detection at the Massive MIMO base station side is realized by adopting sub-beam detection, then finally selecting a beam with the strongest peak value as a detection result and carrying out correlation calculation with a local sequence. The application provides a PRACH detection method, which comprises the steps of firstly receiving time domain data of a plurality of antennas and then converting the time domain data of the plurality of antennas into frequency domain data. The transform may be a Discrete Fourier Transform (DFT) or any other equivalent transform. The present application takes DFT as an example, and the scheme will be described in more detail. And weighting the frequency domain data of the multiple antennas through the DFT weight to obtain the frequency domain data of the multiple beams. It should be noted by those skilled in the art that the number of the plurality of antennas and the number of the plurality of beams may be the same or different. Currently, in the industry, DFT weights are commonly used to process and weight received antenna time domain data to obtain frequency domain data of beams. And then, respectively detecting each beam, and selecting the beam with the strongest detection peak value as a final detection result according to the detection result of each beam.
However, in the current PRACH detection scheme of Massive MIMO, in order to obtain gains of multiple antennas, detection is performed in a beam domain. If multiple narrow beams are used to cover the entire cell, a larger number of beams are required. At this time, the PRACH detection processing complexity is high, the time delay is large, and the access time delay of the user equipment is seriously affected. However, if a wide beam is used to cover the whole cell, the beam gain in the access phase is reduced, and the PRACH detection performance is degraded, which may ultimately affect the access of the user equipment and the beam coverage performance. Therefore, the embodiment of the application provides a PRACH detection method.
The PRACH detection scanning is carried out based on the grouped beams, and a plurality of groups of beams are adopted to cover the whole cell. Groups near the base station can adopt wide beam coverage, thereby reducing the number of beams and reducing the processing complexity; slightly more distant groups may employ narrow beam coverage to achieve beam gain. The detection sequence of the wave beams can be determined according to the user distribution quantity counted in advance of the user distribution, and after the preamble sequence is detected, Random Access Response (RAR) is sent immediately, so that the average access time delay of the cell users can be shortened. Meanwhile, when all the beams have no detected preamble sequences, if the peak values of a plurality of beams exceed a certain threshold value, the plurality of beams can be adopted for joint detection, so that the PRACH detection performance is further improved.
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Fig. 2 is a flowchart of a PRACH detection method according to an embodiment of the present application. The method provided by the embodiment may be executed by the access network device or a chip in the access network device.
As shown in fig. 2, an embodiment of the present application provides a PRACH detection method, which includes the following steps:
s201, frequency domain data of each beam in at least two groups of beams are detected in sequence.
Each beam in at least two groups of beams is detected one by one, firstly, the time domain data of a plurality of antennas is received, and then, the time domain data of the plurality of antennas is converted into frequency domain data. The conversion may be DFT or any other equivalent conversion. In the embodiments of the present application, DFT is taken as an example, and the scheme will be described in more detail. And weighting the frequency domain data of the multiple antennas through the DFT weight to obtain the frequency domain data of the currently detected wave beam.
In one embodiment, the number of groups covered by cell beams may be determined according to the processing capability of the base station and the coverage area required by the cell, where each group includes the number of beams, the coverage angle of each beam, and the total number of beams detected by the PRACH of the cell. In an example, the number of groups covered by the cell beam may be determined according to the processing capability of the base station and the coverage range required by the cell, and for example, within 200 meters from the base station, the base station has a good beam detection effect, within 200 and 500 meters, the base station has a good beam detection effect, and the beam detection beyond 500 meters is gradually weakened, so that the cell beam coverage may be divided into 3 groups for covering areas within 200 meters, within 200 and 500 meters, and beyond 500 meters, respectively. The coverage angle of each beam is determined according to the processing capacity of the base station and the coverage range required by the cell, namely, whether each beam adopts a wide beam or a narrow beam is determined. In one example, the beams covered by the cell may be in two groups, where the first group includes 2 wide beams and the second group includes 4 narrow beams. In another example, the beams covered by the cell may be in three groups, where the first group includes 2 wide beams, the second group includes 4 narrow beams, and the third group includes 8 narrow beams. It should be noted by those skilled in the art that the beams included in each group may all be narrow beams, may all be wide beams, may also all be both narrow beams and wide beams, and may be selected according to any practical situation, and the present application is not limited herein.
In the currently adopted coverage scheme, if a plurality of narrow beams are adopted to cover the whole cell, the problems of high processing complexity and large time delay are caused, the access time delay of the user equipment is influenced, and the access experience is very poor. If a wide beam is used to cover the whole cell, the beam gain is reduced, the demodulation performance is degraded, and the coverage performance of the beam is affected finally. Compared with the current covering scheme, the method and the device have the advantages that the narrow-wave covering is adopted for long distance to guarantee the gain, the wide-wave covering can be adopted for short distance to reduce the covering wave beam, the processing complexity is reduced, the user equipment can be accessed more quickly, and the access time delay is reduced.
S202, acquiring frequency domain data of a frequency corresponding to the PRACH from the frequency domain data of the current detection beam.
And acquiring frequency domain data of the frequency corresponding to the PRACH from the frequency domain data of the current detection beam. In an embodiment, the frequency domain data of the frequency corresponding to the PRACH may be a preamble.
And S203, determining a time domain correlation peak of the PRACH according to the frequency domain data of the corresponding frequency of the PRACH.
And performing correlation calculation on the frequency domain data of the corresponding frequency of the PRACH and the sequence in the local storage. In one embodiment, the correlation calculation may be a conjugate point multiplication. Conjugate point multiplication is performed on the preamble and the locally stored sequence. And then converting the data multiplied by the conjugate point into a time domain through second transformation to obtain a time domain correlation peak of the PRACH. The time domain correlation peak of the PRACH may include a plurality of peaks. In one embodiment, the second transform may be an Inverse Fast Fourier Transform (IFFT), and it should be noted by those skilled in the art that the second transform may also be any equivalent transform.
S204, determining a first peak value according to a time domain correlation peak of the PRACH; the first peak is the peak with the highest time domain correlation peak weight of the PRACH.
And selecting a peak value with the highest peak value from a plurality of peak values in the time domain correlation peak of the converted PRACH as a first peak value.
And S205, when the first peak value is larger than or equal to the first threshold value, sending a random access response message to the user equipment, wherein the random access response message is used for establishing connection between the user equipment and the base station.
It is determined whether a first peak of a currently detected beam is greater than a first threshold. If the first peak value of the currently detected beam is greater than the first threshold value, it indicates that the correlation between the preamble and the locally stored sequence is strong, and it can be considered that the user equipment can access from the currently detected beam, and finally the detection result is reported to the high-level software.
The method and the device have the advantages that the wave beams are firstly grouped, and the cells are covered by the multiple groups of wave beams. Through different beams selected by different groups, when the user equipment is accessed, the access time delay of the user equipment can be reduced while the number of detected beams is effectively reduced.
Fig. 3 is a flowchart of another PRACH detection method according to an embodiment of the present application.
On the basis of the scheme shown in fig. 2, the present application also provides another PRACH detection method, as shown in fig. 3, the method includes the following steps:
s301, at least two groups of beams are determined, wherein each group of beams comprises at least one beam.
Firstly, determining a coverage scheme required by the coverage of the current cell, namely determining the number of groups covered by cell beams, the number of beams contained in each group, the coverage angle of each beam and the total number of beams detected by the PRACH of the cell.
S302, determining the user distribution quantity of each beam in the at least two groups of beams according to historical data
The number of user distributions in each beam in a cell can be determined from historical data over a past period of time. I.e. determining how many user equipments within each beam are accessed from that beam.
S303, arranging all beams in the at least two groups of beams in a descending order according to the user distribution quantity to obtain the detection order
And according to the distribution number of users of each beam, all the beams are arranged in a descending order. The user equipment in the beam with the first bit of the bit sequence is accessed most, and the distribution quantity of the users in the beam is gradually reduced according to the arrangement sequence.
S304, sequentially detecting the frequency domain data of each wave beam in at least two groups of wave beams according to the detection sequence
And then detecting all beams covered in the cell according to the detection sequence. The greater the number of user distributions within a beam, the higher the priority of detection. In one embodiment, all beams in the cell are detected according to the sequence, and after a preamble sequence is detected in one of the beams, the detection can be stopped for the subsequent undetected beam, thereby reducing the processing complexity of the subsequent beam.
By carrying out priority sequencing on all beams in the cell and preferentially detecting the beams with large user distribution quantity, the user equipment can be accessed more quickly, the processing complexity is reduced, and the access time delay is reduced.
Fig. 4 is a flowchart of another PRACH detection method according to an embodiment of the present application.
As shown in fig. 4, the present application further provides another PRACH detection method. After S204 in fig. 2, the method comprises the steps of:
s401, when the first peak value of each beam in the at least two groups of beams is smaller than a first threshold value and the first peak values of at least two beams in the at least two groups of beams are larger than or equal to a second threshold value, the time domain correlation peaks of the at least two beams of which the first peak values are larger than or equal to the second threshold value are subjected to incoherent combination.
When the first peak values of all beams in the cell are smaller than the first threshold value, the first peak values of all beams in the cell may be compared with the second threshold value, and if the first peak values of two or more beams are greater than or equal to the second threshold value, the time domain correlation peaks of the two or more beams of which the first peak values exceed the second threshold value are incoherently combined. The non-coherently combined time-domain correlation peak is compared again with the first threshold.
When the first peak value of two or more beams is greater than or equal to the second threshold value, it may be considered that the current user equipment signal is weak and a single beam cannot be detected, but the PRACH detection performance may be further improved by joint detection of multiple beams.
S402, determining a second peak value according to the time domain correlation peak after incoherent combination; the second peak is the highest peak in the non-coherently combined time-domain correlation peaks.
And selecting a peak value with the highest peak value from a plurality of peak values in the non-coherent combined time domain correlation peak as a second peak value.
And S403, when the second peak value is greater than or equal to the first threshold value, sending a random access response to the user equipment, wherein the random access response message is used for establishing connection between the user equipment and the base station.
At this time, when the second peak value is greater than or equal to the first threshold value, it is considered that the preamble sent by the user equipment is detected by the multiple beam joint detection, and the correlation between the preamble and the locally stored sequence is strong, and finally the detection result is reported to the high-level software, and the random access response is sent to the user equipment.
By carrying out detection after incoherent combination on two or more beams, the problem that the user equipment cannot be detected by a single beam is effectively suppressed, and the detection performance of the PRACH is further improved.
In one embodiment, the following steps may also be included: searching a peak value in each search interval according to each wave beam, judging time delay according to the position of a peak value point, and calculating an initial maximum Time Advanced (TA) value. And then sending a random access response message to the user equipment, wherein the random access response message comprises the initial maximum time advance and is used for establishing connection between the user equipment and the base station. The initial TA value is used for sending information in advance of TA time after the connection between the subsequent user equipment and the base station is established so as to ensure the time synchronization during the connection.
It should be noted by those skilled in the art that the reference to "first" and "second" of the "first peak" and "second peak" in this application is only for distinguishing the highest peak of two different time-domain correlation peaks, and there is no order between the two.
Fig. 5 is a schematic view of beam coverage provided in the embodiment of the present application.
The method according to the present application will be illustrated below with reference to a more specific example.
As shown in fig. 5, the present embodiment takes a 64 Transceiver (TRX) as an example to describe a PRACH detection method based on packet beam scanning. The 64TRX includes 64 rf channels, and may be understood to receive time domain data of 64 antennas.
Firstly, according to a cell coverage scene, determining a packet beam detected by a cell PRACH. In one embodiment, the scenario may be a scenario as the cell coverage requirement is 120 ° horizontally and 12 ° vertically. In one example, a vertical two beam, horizontal 7+1 beam design may be used. The position of the abscissa 0 in fig. 5 is the position of the base station. The direction from near to far from the base station is the vertical direction, and the direction from left to right parallel to the base station and the horizontal direction. Wherein, the position close to the base station adopts 1 wide beam coverage in the horizontal direction, namely the lower horizontal coverage in fig. 5 is the beam from-40 degrees to 40 degrees; the position farther from the base station is covered with 7 narrow beams in the horizontal direction, i.e. the upper 7 narrow beams in fig. 5. Each beam is simultaneously covered by a left polarized beam and a right polarized beam for receiving signals in various directions over the area. In one example, the beams of different polarizations may be numbered, for example, the left polarized beams are numbered 0-7, respectively, and the right polarized beams are numbered 8-15, respectively.
Before detecting the beam, the base station sets a user number indicator for each beam. After the ue accesses, a Reference Signal Receiving Power (RSRP) value of each beam may be counted. And then adding 1 to the user number indicator for the beam with the RSRP value exceeding the preset PSRP threshold value. Then, the user distribution quantity of all beams in a cell in a certain period of time in the past is counted, priority ranking is carried out according to the user distribution quantity, and the beam scanning sequence of PRACH detection is determined.
The base station acquires time domain data of 64 antennas and adopts DFT transformation to acquire frequency domain signals of 64 antennas. And according to the determined grouping wave beam scheme, weighting the frequency domain signals of the antennas to obtain frequency domain signals corresponding to 16 wave beams. Where each polarization is 8 beams.
And respectively and sequentially detecting each wave beam in the cell according to a predetermined wave beam scanning sequence. And extracting frequency domain data of the frequency corresponding to the current detection beam PRACH, and performing conjugate point multiplication with a locally stored root sequence. And then performing IFFT transformation, and converting the result of the product of the frequency domain data and the conjugate point of the local sequence into a time domain. And searching a peak value in each search interval of the time domain. Preamble detection may be considered successful if the peak point location exceeds the detection first threshold Thr 1. Meanwhile, time delay can be judged according to the position of the peak value, and an initial TA value can be calculated. And when Preamble detection is successful, sending RAR immediately to reduce user access delay. Meanwhile, the rest undetected beams are not detected any more subsequently, and the complexity of subsequent beam processing is reduced. Wherein, the RAR is sent immediately, i.e. the message 2(message2, Msg2) is sent by the base station side, and is used for notifying the UE side to perform the following procedures
If the peak values of all beams in the current cell are traversed and do not exceed Thr1, the single beam does not detect the Preamble. It is determined whether the peak value of each beam in the current cell exceeds a second threshold Thr 2. If the peak value of two or more beams exceeds Thr2, the two or more beams with the peak value exceeding Thr2 are subjected to incoherent combination and then subjected to PRACH detection again, so that the detection performance of the PRACH is further improved.
The PRACH processing complexity and the detection performance can be well balanced, and the number of detection beams and the processing complexity are reduced by adopting a grouped beam scanning scheme and covering a near point with a wide beam. The remote point is covered by narrow beams, so that higher beam gain can be obtained, and the detection performance of the PRACH is improved. Meanwhile, the detection sequence of the PRACH wave beams is determined by counting the user distribution conditions of different wave beams in the cell, so that the average access time delay of cell users can be reduced. When the single beam cannot detect the Preamble, the method and the device can improve the PRACH detection performance by finally judging whether the peak value of each beam exceeds the second threshold value, and detecting again after non-coherent combination of all time domain related peaks of the beams exceeding the second threshold value.
It should be noted by those skilled in the art that the first threshold and the second threshold in this application may be set at any time according to actual situations, and may be any integer, any ratio or percentage value, or any decimal, and this application is not limited again.
Fig. 6 is a schematic diagram of a PRACH detection apparatus according to an embodiment of the present disclosure.
As shown in fig. 6, the present application provides a PRACH detection apparatus 600, including: a detection module 601, configured to detect frequency domain data of each of at least two groups of beams in sequence; an obtaining module 602, configured to obtain frequency domain data of a frequency corresponding to the PRACH from the frequency domain data of the current detection beam; determining a time domain correlation peak of the PRACH according to frequency domain data of corresponding frequency of the PRACH; determining a first peak value according to a time domain correlation peak of the PRACH; the first peak value is the highest peak value in the time domain correlation peaks of the PRACH; the determining module 603 is configured to send a random access response message to the ue when the first peak is greater than or equal to the first threshold, where the random access response message is used for establishing a connection between the ue and the base station.
In one possible implementation, the detection module 601 further includes: at least two sets of beams are determined, each set of beams comprising at least one beam.
In one possible implementation, the detection module 601 further includes: determining the detection order of the beams; the detection module 601 includes: and sequentially detecting the frequency domain data of each beam in the at least two groups of beams according to the detection sequence.
In one possible embodiment, determining the detection order of the beams includes: determining the user distribution quantity of each beam in at least two groups of beams according to historical data; and performing descending order arrangement on all beams in the at least two groups of beams according to the distribution number of the users to obtain a detection order.
In one possible implementation, the confirmation module 603 further includes: when the first peak value of each beam in the at least two groups of beams is smaller than a first threshold value and the first peak values of at least two beams in the at least two groups of beams are larger than or equal to a second threshold value, performing non-coherent combination on the time domain related peaks of the at least two beams of which the first peak values are larger than or equal to the second threshold value; determining a second peak value according to the time domain correlation peak after incoherent combination; the second peak value is the highest peak value in the time domain correlation peaks after incoherent combination; and when the second peak value is larger than or equal to the first threshold value, sending a random access response message to the user equipment, wherein the random access response message is used for establishing connection between the user equipment and the base station.
In one possible embodiment, the detection module 601 includes: acquiring time domain data of a plurality of antennas; converting time domain data of the plurality of antennas into frequency domain data through a first transformation; and weighting the frequency domain data of the plurality of antennas through the first transformation weight to obtain the frequency domain data of each beam in at least two groups of beams.
In one possible implementation, the obtaining module 602 includes: performing correlation calculation on frequency domain data of corresponding frequency of the PRACH and sequences in a local storage; and converting the frequency domain data of the frequency corresponding to the PRACH after the correlation calculation into a time domain through second conversion to obtain a time domain correlation peak of the PRACH.
In one possible embodiment, the correlation calculation includes: and (4) calculating conjugate point multiplication.
In one possible implementation, the confirmation module 603 further includes: and when the first peak value or the second peak value is larger than or equal to the first threshold value, determining a time point corresponding to the first peak value or the second peak value, and calculating the initial maximum time advance according to the time point.
The PRACH processing complexity and the detection performance can be well balanced, and the number of detection beams and the processing complexity are reduced by adopting a grouped beam scanning scheme and covering a near point with a wide beam. The remote point is covered by narrow beams, so that higher beam gain can be obtained, and the detection performance of the PRACH is improved. Meanwhile, the detection sequence of the PRACH wave beams is determined by counting the user distribution conditions of different wave beams in the cell, so that the average access time delay of cell users can be reduced. When the Preamble cannot be detected for a single beam, the method and the device can improve the PRACH detection performance by finally judging whether the first peak value of each beam exceeds the second threshold value, and detecting again after non-coherent combination of all time domain related peaks of the beams exceeding the second threshold value.
Fig. 7 is a schematic diagram of a communication device according to an embodiment of the present application.
As shown in fig. 7, the present application further provides a communication apparatus 700, where the communication apparatus 700 includes a processing unit 701 and a communication unit 702. Optionally, the communication device 700 further includes a storage unit 703. The processing unit 701, the communication unit 702, and the storage unit 703 are connected by a communication bus.
The processing unit 701 may be a unit with processing functionality for controlling the communication device 700 to perform methods or actions, and the processing unit 701 may comprise one or more processors.
The storage unit 703 may be a unit having a storage function, for example, the storage unit 703 may include one or more memories, which may be devices in one or more devices or circuits for storing programs or data.
The memory unit 703 may be separate and connected to the processing unit 701 through a communication bus. The memory unit may also be integrated with the processing unit 701.
The communication unit 702 may be a unit having a transceiving function for communicating with other communication devices.
The communication apparatus 700 may be used in a communication device, circuit, hardware component, or chip.
The communication device 700 may be a base station in the embodiments of the present application, such as the device 600. A schematic diagram of the apparatus 600 may be as shown in fig. 6. Optionally, the communication unit 702 of the communication device 700 may include an antenna and a transceiver. Optionally, the communication unit 702 of the communication device 700 may comprise a network interface.
The communication device 700 may be a chip in a base station in the embodiment of the present application, such as the device 600. A schematic diagram of the apparatus 600 may be as shown in fig. 6. The communication unit 702 may be an input or output interface, a pin or a circuit, etc. Optionally, the storage unit 703 may store a computer-executable instruction of the access network device side method, so that the processing unit 701 executes the method of the access network device 600 in the foregoing embodiment. The storage unit 703 may be a register, a cache, a RAM, or the like, and the storage unit 703 may be integrated with the processing unit 701; the memory unit 703 may be a ROM or other type of static storage device that may store static information and instructions, and the memory unit 703 may be separate from the processing unit 701. Alternatively, as wireless communication technology evolves, a transceiver may be integrated on the communication device 700.
When the communication apparatus 700 can be a base station or a chip in a base station in the implementation of the present application, the communication apparatus 700 can perform a method performed by the base station, for example, the method performed by the apparatus 600.
For example, the processing unit 701 may detect frequency domain data of each of at least two sets of beams in turn; acquiring frequency domain data of a frequency corresponding to the PRACH from the frequency domain data of the current detection beam; determining a time domain correlation peak of the PRACH according to frequency domain data of corresponding frequency of the PRACH; determining a first peak value according to a time domain correlation peak of the PRACH; the first peak value is the highest peak value in the time domain correlation peaks of the PRACH; and when the first peak value is larger than or equal to the first threshold value, sending a random access response message to the user equipment, wherein the random access response message is used for establishing connection between the user equipment and the base station.
In one possible embodiment, the processing unit 701 may further determine at least two sets of beams, each set of beams comprising at least one beam.
In one possible embodiment, the storage unit 702 may determine the order of detection of the beams; the processor 701 includes: and sequentially detecting the frequency domain data of each beam in the at least two groups of beams according to the detection sequence.
In one possible embodiment, determining the detection order of the beams includes: determining the user distribution quantity of each beam in at least two groups of beams according to historical data; and performing descending order arrangement on all beams in the at least two groups of beams according to the distribution number of the users to obtain a detection order.
In a possible embodiment, when the first peak value of each beam in the at least two groups of beams is smaller than a first threshold and the first peak values of at least two beams in the at least two groups of beams are greater than or equal to a second threshold, the processing unit 701 may further perform non-coherent combining on the time domain correlation peaks of the at least two beams whose first peak values are greater than or equal to the second threshold; determining a second peak value according to the time domain correlation peak after incoherent combination; the second peak value is the highest peak value in the time domain correlation peaks after incoherent combination; and when the second peak value is larger than or equal to the first threshold value, sending a random access response message to the user equipment, wherein the random access response message is used for establishing connection between the user equipment and the base station.
In a possible embodiment, the processing unit 701 may further obtain time domain data of multiple antennas; converting time domain data of the plurality of antennas into frequency domain data through a first transformation; and weighting the frequency domain data of the plurality of antennas through the first transformation weight to obtain the frequency domain data of each beam in at least two groups of beams.
In a possible embodiment, the processing unit 701 may further perform correlation calculation on the frequency domain data of the frequency corresponding to the PRACH and the sequence in the local storage; and converting the frequency domain data of the frequency corresponding to the PRACH after the correlation calculation into a time domain through second conversion to obtain a time domain correlation peak of the PRACH.
In one possible embodiment, the correlation calculation includes: and (4) calculating conjugate point multiplication.
In a possible embodiment, when the first peak or the second peak is greater than or equal to the first threshold, the processing unit 701 may further determine a time point corresponding to the first peak or the second peak, and calculate the initial maximum time advance according to the time point. In this embodiment of the present application, the functions of each functional unit in the communication device may be implemented by steps executed by the devices in the embodiments shown in fig. 2 to fig. 4, and therefore, detailed working processes of the communication device provided in the embodiment of the present invention are not described herein again.
The PRACH processing complexity and the detection performance can be well balanced, and the number of detection beams and the processing complexity are reduced by adopting a grouped beam scanning scheme and covering a near point with a wide beam. The remote point is covered by narrow beams, so that higher beam gain can be obtained, and the detection performance of the PRACH is improved. Meanwhile, the detection sequence of the PRACH wave beams is determined by counting the user distribution conditions of different wave beams in the cell, so that the average access time delay of cell users can be reduced. When the single beam cannot detect the Preamble, the method and the device can improve the PRACH detection performance by finally judging whether the peak value of each beam exceeds the second threshold value, and detecting again after non-coherent combination of all time domain related peaks of the beams exceeding the second threshold value.
It will be further appreciated by those of ordinary skill in the art that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by a program, and the program may be stored in a computer-readable storage medium, where the storage medium is a non-transitory medium, such as a random access memory, a read only memory, a flash memory, a hard disk, a solid state disk, a magnetic tape (magnetic tape), a floppy disk (floppy disk), an optical disk (optical disk), and any combination thereof.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (11)

1. A PRACH detection method is characterized by comprising the following steps:
sequentially detecting frequency domain data of each beam in at least two groups of beams;
acquiring frequency domain data of a frequency corresponding to the PRACH from the frequency domain data of the current detection beam;
determining a time domain correlation peak of the PRACH according to the frequency domain data of the corresponding frequency of the PRACH;
determining a first peak value according to the time domain correlation peak of the PRACH; the first peak value is the highest peak value in the time domain correlation peaks of the PRACH;
and when the first peak value is larger than or equal to a first threshold value, sending a random access response message to the user equipment, wherein the random access response message is used for establishing connection between the user equipment and the base station.
2. The method of claim 1, wherein prior to said sequentially detecting frequency domain data for each of at least two sets of beams, the method further comprises:
at least two sets of beams are determined, each set of beams comprising at least one beam.
3. The method of claim 1 or 2, wherein the method further comprises:
determining the detection order of the beams;
the sequentially detecting frequency domain data of each beam of the at least two groups of beams includes:
and sequentially detecting the frequency domain data of each beam in the at least two groups of beams according to the detection sequence.
4. The method of claim 3, wherein said determining an order of detection of beams comprises:
determining the number of user distributions of each beam in the at least two groups of beams according to historical data;
and performing descending order arrangement on all beams in the at least two groups of beams according to the user distribution quantity to obtain the detection order.
5. The method of any of claims 1-4, wherein the method further comprises:
when the first peak value of each beam in the at least two groups of beams is smaller than the first threshold value and the first peak values of at least two beams in the at least two groups of beams are larger than or equal to a second threshold value, non-coherently combining the time domain related peaks of the at least two beams of which the first peak values are larger than or equal to the second threshold value;
determining a second peak value according to the time domain correlation peak after incoherent combination; the second peak value is the highest peak value in the time domain correlation peaks after incoherent combination;
and when the second peak value is larger than or equal to a first threshold value, sending a random access response message to the user equipment, wherein the random access response message is used for establishing connection between the user equipment and a base station.
6. The method of any of claims 1-5, wherein the detecting frequency domain data for each of at least two sets of beams comprises:
acquiring time domain data of a plurality of antennas;
converting time domain data of the plurality of antennas into frequency domain data by a first transform;
and weighting the frequency domain data of the plurality of antennas through the first transformation weight to obtain the frequency domain data of each beam in at least two groups of beams.
7. The method of any one of claims 1 to 6, wherein the determining the time-domain correlation peak of the PRACH according to the frequency-domain data of the frequency corresponding to the PRACH comprises:
performing correlation calculation on the frequency domain data of the corresponding frequency of the PRACH and the sequence in the local storage;
and converting the frequency domain data of the frequency corresponding to the PRACH after the correlation calculation into a time domain through second transformation to obtain a time domain correlation peak of the PRACH.
8. The method of claim 7, wherein the correlation calculation comprises: and (4) calculating conjugate point multiplication.
9. The method of any one of claims 1-8, wherein the method further comprises:
and when the first peak value or the second peak value is larger than or equal to a first threshold value, determining a time point corresponding to the first peak value or the second peak value, and calculating an initial maximum time advance according to the time point.
10. A communications apparatus, comprising a processor coupled to a memory, wherein the processor reads and executes instructions in the memory for implementing the method of any of claims 1-9.
11. A computer-readable storage medium storing a program, the program comprising instructions that, when executed, cause the performance of the method according to any one of claims 1-9.
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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11659543B1 (en) * 2021-08-09 2023-05-23 T-Mobile Innovations Llc Dynamic SSB beam allocation
CN114745729A (en) * 2022-04-26 2022-07-12 上海中兴易联通讯股份有限公司 Method and device for combining PRACH (physical random Access channel) baseband of NR (non-reciprocal) small base station

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101686547A (en) * 2008-09-23 2010-03-31 大唐移动通信设备有限公司 Frequency domain configuration method of random accessing channel, system and device thereof
CN102869027A (en) * 2012-09-12 2013-01-09 大唐移动通信设备有限公司 Method and device for detecting physical random access channel (PRACH) of multi-antenna base station
CN107223361A (en) * 2017-05-05 2017-09-29 北京小米移动软件有限公司 Control method, user equipment and the base station of Network with Random Multiple Access System
WO2018049274A1 (en) * 2016-09-09 2018-03-15 Intel IP Corporation Low latency random access channel procedures for beamformed systems
CN107889156A (en) * 2016-09-30 2018-04-06 中兴通讯股份有限公司 The sending, receiving method and device of access information, Transmission system
CN108811119A (en) * 2017-05-05 2018-11-13 华为技术有限公司 Accidental access method, equipment and system

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103384378B (en) * 2012-05-03 2018-05-15 中兴通讯股份有限公司 The reception detection method and receiving terminal of a kind of random access sequence
TWI653843B (en) * 2013-01-25 2019-03-11 內數位專利控股公司 Transmitting on a physical random access channel (PRACH) resource based on the received beam reference signal
JP2016140068A (en) * 2015-01-26 2016-08-04 華碩電腦股▲ふん▼有限公司ASUSTeK COMPUTER INC. Method and device for improving beam detection in radio communication system
ES2773904T3 (en) * 2015-07-15 2020-07-15 Tata Consultancy Services Ltd Detection of random access physical channel preambles in a long-term evolution communication system
WO2017145215A1 (en) * 2016-02-22 2017-08-31 三菱電機株式会社 Reception apparatus
CN105589506B (en) 2016-02-29 2017-10-17 华为技术有限公司 power tracking method, device and photovoltaic generating system
US10292104B2 (en) * 2017-08-21 2019-05-14 Redpine Signals, Inc. Quick decision preamble detector with hierarchical processing

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101686547A (en) * 2008-09-23 2010-03-31 大唐移动通信设备有限公司 Frequency domain configuration method of random accessing channel, system and device thereof
CN102869027A (en) * 2012-09-12 2013-01-09 大唐移动通信设备有限公司 Method and device for detecting physical random access channel (PRACH) of multi-antenna base station
WO2018049274A1 (en) * 2016-09-09 2018-03-15 Intel IP Corporation Low latency random access channel procedures for beamformed systems
CN107889156A (en) * 2016-09-30 2018-04-06 中兴通讯股份有限公司 The sending, receiving method and device of access information, Transmission system
CN107223361A (en) * 2017-05-05 2017-09-29 北京小米移动软件有限公司 Control method, user equipment and the base station of Network with Random Multiple Access System
CN108811119A (en) * 2017-05-05 2018-11-13 华为技术有限公司 Accidental access method, equipment and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
HUAWEI, HISILICON: "UL beam management", 《3GPP TSG RAN WG1 MEETING #89 R1-1706925》 *

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